Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. Data indicates these technology trends have taken hold.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 184

Software Software Analytics Big Data 184

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 200

DevOps Metrics Engineering Analytics 200

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. The most likely beneficiaries of generative AI The top three areas most likely to benefit from generative AI are IT operations (72%), cybersecurity (47%), and application development or DevOps (30%).

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. AI-powered analytics. What is Kubernetes? Networking.

Open Source 189

Open Source Storage Analytics Innovation 189

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 192

DevOps Analytics Airlines Metrics 192

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. The need for developers and innovation is now even greater. Thus, the concept of NoOps takes DevOps a step further.

DevOps 213

DevOps Big Data Cloud Innovation 213

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. DevOps best practices include testing within the CI/CD pipeline, also known as shift-left testing. Dynatrace news.

Monitoring 197

Monitoring Software Software DevOps 197

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. The following resources demonstrate how Dynatrace’s causation-based AI is changing the game for AIOps to bring real-time root-cause analysis to your AWS environment and beyond.?. Dynatrace extends contextual analytics and AIOps for open observability. Learn more here.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). DevOps: Applying AIOps to development environments. CloudOps: Applying AIOps to multicloud operations.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

APRIL 11, 2023

Dynatrace Runtime Vulnerability Analysis now covers the entire application stack – blog Automatic vulnerability detection at runtime and AI-powered risk assessment further enable DevSecOps automation. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

NOVEMBER 20, 2023

 Using fault-tree analysis, this kind of AI provides critical detail about how its models arrive at a given conclusion. How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Aggregation.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. Simplify error analytics.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. The Dynatrace modern observability platform enables DevOps teams to develop a digitally immune system using a unified data platform. How to achieve digital immunity with a unified data platform.

Software 192

Software Software Artificial Intelligence DevOps 192

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Dynatrace

MAY 8, 2023

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Digital transformation security risks Increasingly, observability of DevOps workflows is converging with application security. Previously, they had 12 tools with different traffic thresholds.

Strategy 172

Strategy Retail DevOps Education 172

Dynatrace

AUGUST 21, 2023

The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics. We also believe in OpenTelemetry.

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

OCTOBER 19, 2023

By incorporating automated vulnerability scans within the software development lifecycle (SDLC), developers can expedite the release of innovative software features. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps.

Best Practices 205

Best Practices Benchmarking Speed Infrastructure 205

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. AIOps for root-cause analysis becomes critical. Dynatrace news.

Serverless 261

Serverless Infrastructure Innovation DevOps 261

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). According to Gardner, teams gradually deliver software to user groups with progressive delivery.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. As digital transformation accelerates, organizations need to innovate faster. Dynatrace news.

Serverless 174

Serverless Architecture Open Source Innovation 174

Dynatrace

APRIL 7, 2023

The latest Amazon Lambda innovation, Lambda Response Streaming has day-one support from Dynatrace without interruption allowing users to continue to take advantage of all the platform features. It also baselines the performance of an application under load, including response times, error rates, and behavior.

Lambda 212

Lambda AWS Serverless Latency 212

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud.

Energy 230

Energy Cloud Airlines Strategy 230

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. The time and effort saved with testing and deployment are a game-changer for DevOps. Anomaly detection and precise root-cause-analysis for fast remediation. Event logs for ad-hoc analysis and auditing. Why containers?

Open Source 298

Open Source Traffic DevOps Cloud 298

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. AI-powered answers, provided by?Dynatrace Dynatrace Davis AI. entire stack,?including

Lambda 205

Lambda Serverless AWS Mobile 205

Dynatrace

FEBRUARY 8, 2021

To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools. Manual troubleshooting is painful, hurts the business, and slows down innovation. Leverage log analytics for additional context.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

JULY 6, 2022

AIOps brings an additional level of analysis to observability, as well as the ability to respond to events that warrant it. IT automation, DevOps, and DevSecOps go together. These tools provide the means to collect, transfer, and process large volumes of data that are increasingly common in analytics applications.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Automatic root cause analysis for DevOps, cloud, and apps teams. Cold start analysis. Simplify error analytics.

Lambda 164

Lambda AWS Serverless Infrastructure 164

Dynatrace

SEPTEMBER 22, 2021

In comparison, APM platforms provide a single integrated platform using AI and automation to deliver a precise, context-aware analysis of the application environment. With the time and effort saved, they can focus on innovations and user experience enhancements that increase conversion rates and boost revenue.

Innovation 201

Innovation Open Source Monitoring Infrastructure 201

Dynatrace

OCTOBER 5, 2022

By automating vulnerability scanning as part of the SDLC, developers can release innovative features faster. Accurate runtime vulnerability detection and analysis tools, like Dynatrace, can help collect deep monitoring information about all the processes running on your systems, in real-time.

Best Practices 190

Best Practices Education Monitoring Government 190

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Automatic root cause analysis for DevOps, cloud, and apps teams. Cold start analysis. Simplify error analytics.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

JANUARY 13, 2021

This allows DevSecOps teams to spend less time troubleshooting and more time driving innovation and business value. User feedback like this is critical to our platform innovation, and we view these insights as the building blocks of our strategy to transform the way digital teams work.”. So great!” – Insurance Consultant .

Artificial Intelligence 137

Artificial Intelligence DevOps Analytics Innovation 137

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. Dynatrace news. Today, online services require near 100% uptime.

DevOps 192

DevOps Metrics Best Practices Latency 192

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. But what is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363